Citizen Science/The Urinomics Project/Resources: Difference between revisions

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==Urinoscope design-related==
==Urinoscope design resources==


The Urinoscope will be designed as an Open Source Hardware project. The Urinoscope is a generic spectrophotometer used to screen urine samples. It will be built from existing projects such as the Arduino microcontroller, and it will be using LED technologies.
The Urinoscope will be designed as an Open Source Hardware project. The Urinoscope is a generic spectrophotometer used to screen urine samples. It will be built from existing projects such as the Arduino microcontroller, and it will be using LED technologies.
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** Commercial product: [http://www.oceanoptics.com/products/usb2000+.asp Ocean Optics USB2000]
** Commercial product: [http://www.oceanoptics.com/products/usb2000+.asp Ocean Optics USB2000]


==Spectroscopy format-related==
==Spectroscopy format resources==


The scientific community has produced several standards to represent spectroscopic data. The project will evaluate them in order to produce a Urinoscope design compatible with state-of-the-art spectroscopic data handling.
The scientific community has produced several standards to represent spectroscopic data. The project will evaluate them in order to produce a Urinoscope design compatible with state-of-the-art spectroscopic data handling.
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* [http://dx.doi.org/10.1016/S1535-5535(04)00168-6 Spectro ML-A Markup Language for Molecular Spectrometry Data]
* [http://dx.doi.org/10.1016/S1535-5535(04)00168-6 Spectro ML-A Markup Language for Molecular Spectrometry Data]


==Open Urinome Dataset-related==
==Open Urinome Dataset resources==


The Urinomics project will develop a central Open Dataset to store and share the data produce by the Urinoscope. It will be implemented as an Open Source Software project, and it will use existing available Open Source resources to implement a database and an open API to store and query the repository.
The Urinomics project will develop a central Open Dataset to store and share the data produce by the Urinoscope. It will be implemented as an Open Source Software project, and it will use existing available Open Source resources to implement a database and an open API to store and query the repository.
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** [http://code.google.com/appengine/ Google Apps Engine (DJango-like)]
** [http://code.google.com/appengine/ Google Apps Engine (DJango-like)]


==Urinome Visualisation-related==
==Urinome Visualisation resources==
 
During the Urinomics project an import module will be develop in Processing in order to read the Urinome data standard from the Urinome Open Dataset. Such module will enable anybody to create new visualisation techniques to display Urinome data.
* Technology platform:
** [http://processing.org/ Processing]

Latest revision as of 14:35, 14 December 2008

The Urinomics Project

Home        Resources

Urinoscope design resources

The Urinoscope will be designed as an Open Source Hardware project. The Urinoscope is a generic spectrophotometer used to screen urine samples. It will be built from existing projects such as the Arduino microcontroller, and it will be using LED technologies.

Three different designs, based on three different sensors, will be explored for the 'Urinoscope':

Spectroscopy format resources

The scientific community has produced several standards to represent spectroscopic data. The project will evaluate them in order to produce a Urinoscope design compatible with state-of-the-art spectroscopic data handling.

Open Urinome Dataset resources

The Urinomics project will develop a central Open Dataset to store and share the data produce by the Urinoscope. It will be implemented as an Open Source Software project, and it will use existing available Open Source resources to implement a database and an open API to store and query the repository.

Urinome Visualisation resources

During the Urinomics project an import module will be develop in Processing in order to read the Urinome data standard from the Urinome Open Dataset. Such module will enable anybody to create new visualisation techniques to display Urinome data.